{"id":19309668,"url":"https://github.com/jolars/slope","last_synced_at":"2025-05-08T19:49:41.637Z","repository":{"id":38244372,"uuid":"248850768","full_name":"jolars/SLOPE","owner":"jolars","description":"Sorted L1 Penalized Estimation","archived":false,"fork":false,"pushed_at":"2025-04-23T13:06:06.000Z","size":26388,"stargazers_count":18,"open_issues_count":2,"forks_count":11,"subscribers_count":4,"default_branch":"main","last_synced_at":"2025-04-23T14:21:37.252Z","etag":null,"topics":["generalized-linear-models","r","slope","sparse-regression"],"latest_commit_sha":null,"homepage":"https://jolars.github.io/SLOPE","language":"C++","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"gpl-3.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/jolars.png","metadata":{"files":{"readme":"README.Rmd","changelog":"NEWS.md","contributing":null,"funding":null,"license":"LICENSE.md","code_of_conduct":"CODE_OF_CONDUCT.md","threat_model":null,"audit":null,"citation":"CITATION.cff","codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2020-03-20T20:57:56.000Z","updated_at":"2025-04-23T13:00:53.000Z","dependencies_parsed_at":"2025-02-01T20:25:04.032Z","dependency_job_id":"5d626e80-b32d-4a78-b7ca-873b5f981e01","html_url":"https://github.com/jolars/SLOPE","commit_stats":{"total_commits":385,"total_committers":7,"mean_commits":55.0,"dds":0.6,"last_synced_commit":"79cd857a29a32f4331e7a79ff0a3c81597f9ee65"},"previous_names":[],"tags_count":9,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jolars%2FSLOPE","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jolars%2FSLOPE/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jolars%2FSLOPE/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jolars%2FSLOPE/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/jolars","download_url":"https://codeload.github.com/jolars/SLOPE/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":253141012,"owners_count":21860534,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["generalized-linear-models","r","slope","sparse-regression"],"created_at":"2024-11-10T00:20:14.103Z","updated_at":"2025-05-08T19:49:41.625Z","avatar_url":"https://github.com/jolars.png","language":"C++","funding_links":[],"categories":[],"sub_categories":[],"readme":"---\noutput: github_document\n---\n\n\u003c!-- README.md is generated from README.Rmd. Please edit that file --\u003e\n\n```{r, include = FALSE}\nknitr::opts_chunk$set(\n  collapse = TRUE,\n  comment = \"#\u003e\",\n  fig.path = \"man/figures/README-\",\n  out.width = \"100%\"\n)\n```\n\n# SLOPE \u003ca href=\"https://jolars.github.io/SLOPE/\"\u003e\u003cimg src='man/figures/logo.png' align=\"right\" height=\"139\" /\u003e\u003c/a\u003e\n\n\u003c!-- badges: start --\u003e\n[![R build status](https://github.com/jolars/SLOPE/workflows/R-CMD-check/badge.svg)](https://github.com/jolars/SLOPE/actions)\n[![Coverage status](https://codecov.io/gh/jolars/SLOPE/graph/badge.svg?token=SmorGv47Zg)](https://app.codecov.io/github/jolars/SLOPE)\n[![CRAN status](https://www.r-pkg.org/badges/version/SLOPE)](https://CRAN.R-project.org/package=SLOPE)\n\u003c!-- badges: end --\u003e\n\nEfficient implementations for Sorted L-One Penalized Estimation\n(SLOPE): generalized linear models regularized with the sorted L1-norm.\nThere is support for\nordinary least-squares regression, binomial regression, multinomial\nregression, and poisson regression, as well as both dense and sparse\npredictor matrices. In addition, the package features predictor screening\nrules that enable efficient solutions to high-dimensional problems.\n\n## Installation\n\nYou can install the current stable release from\n[CRAN](https://cran.r-project.org/) with\n\n``` r\ninstall.packages(\"SLOPE\")\n```\n\nor the development version from [GitHub](https://github.com/) with\n\n``` r\n# install.packages(\"remotes\")\nremotes::install_github(\"jolars/SLOPE\")\n```\n\n## Versioning\n\nSLOPE uses [semantic versioning](https://semver.org).\n\n## Code of conduct\n\nPlease note that the 'SLOPE' project is released with a\n[Contributor Code of Conduct](https://jolars.github.io/SLOPE/CODE_OF_CONDUCT.html).\nBy contributing to this project, you agree to abide by its terms.\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjolars%2Fslope","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjolars%2Fslope","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjolars%2Fslope/lists"}